Can I read Multivariate Statistical Modelling Based on Generalized Linear Models (Springer Series in Statistics) on EtoBox?

Multivariate Statistical Modelling Based on Generalized Linear Models (Springer Series in Statistics) by Ludwig Fahrmeir; Gerhard Tutz; Wolfgang Hennevogl is a book available to read on EtoBox.

What is Multivariate Statistical Modelling Based on Generalized Linear Models (Springer Series in Statistics) about?

Since our first edition of this book, many developments in statistical mod­ elling based on generalized linear models have been published, and our primary aim is to bring the book up to date. Naturally, the choice of these recent developments reflects our own teaching and research interests. The new organization parallels that of the first edition. We try to motiv­ ate and illustrate concepts with examples using real data, and most data sets are available on http:/ fwww. stat. uni-muenchen. de/welcome_e. html, with a link to data archive. We could not treat all recent developments in the main text, and in such cases we point to references at the end of each chapter. Many changes will be found in several sections, especially with those connected to Bayesian concepts. For example, the treatment of marginal models in Chapter 3 is now current and state-of-the-art. The coverage of nonparametric and semiparametric generalized regression in Chapter 5 is completely rewritten with a shift of emphasis to linear bases, as well as new sections on local smoothing approaches and Bayesian inference. Chapter 6 now incorporates developments in parametric modelling of both time series and longitudin

Author

Ludwig Fahrmeir; Gerhard Tutz; Wolfgang Hennevogl

Publisher

New York: Springer

Published

2013

Language

EN

ISBN

9781441929006

Subjects

Medical, Mathematics, Business